Explicitly requires Vibe coding and AI code-generation tools for rapid PoC/MVP development and LLM integrations.
About the Role
Technical AI Solution Engineer (contract) to design, architect, and deliver AI and Generative AI solutions, rapidly build PoCs/MVPs, and lead end-to-end solution lifecycles across customer engagements. Hybrid role based in Dallas, TX or Atlanta, GA for a 3–6 month contract with a part-time daily commitment.
Job Description
Role
Seeking a Technical AI Solution Engineer to design, architect, build, and deliver AI and Generative AI solutions across customer engagements. The role focuses on translating business challenges into scalable AI-driven solutions, rapidly producing proofs of concept and MVPs, and driving solutions from ideation through production deployment.
Key Responsibilities
- Lead end-to-end AI and Generative AI solution architecture including system design, data flows, model selection, and integration patterns.
- Partner with customers, product managers, and business teams to identify high-impact AI use cases.
- Evaluate AI technologies, frameworks, and vendors and recommend appropriate solution approaches.
- Build PoCs, MVPs, and production-grade features using Vibe coding, LLMs, embeddings, retrieval, agents, and AI pipelines.
- Implement AI workflows such as MCP, RAG, fine-tuning, prompt engineering, agentic orchestration, and model optimization.
- Integrate solutions with enterprise systems, APIs, data platforms, and cloud environments (AWS/Azure/GCP).
- Serve as a subject-matter expert and advisor on modern AI/GenAI architectures, vector databases, and agentic automation.
- Optionally conduct knowledge-sharing sessions, demos, and workshops with clients and internal teams.
Required Skills & Experience
- Strong hands-on experience with LLMs, GenAI frameworks, and modern AI stacks (examples listed below).
- Experience building AI pipelines using MCP/RAG architectures, agents and multi-agent orchestration, prompt engineering, and evaluation techniques.
- Experience with fine tuning or parameter-efficient training methods (LoRA, adapters).
- Proficiency in Vibe coding and the latest AI code generation tools.
- Proficiency in Python and/or Node.js and familiarity with LangChain, Semantic Kernel, or LlamaIndex.
- Familiarity with ML frameworks (PyTorch; TensorFlow optional).
- Experience with vector databases (Pinecone, Weaviate, Chroma, Redis Vector).
- Knowledge of cloud AI services across Azure, AWS, and Google Cloud Platform.
- Strong understanding of API architectures, microservices, DevOps practices, CI/CD, and containerization.
- Proven ability to translate business needs into scalable AI designs and interact with customers to gather requirements and present technical solutions.
Preferred Qualifications
- Experience in telco, media, or large enterprise environments.
- Knowledge of data engineering, ETL pipelines, feature stores, MLOps/LLMOps methodologies and tools.
- Exposure to vector search optimization, knowledge graphs, or reinforcement learning.
- Familiarity with responsible AI, security, governance, and compliance frameworks.
Logistics
- Location: Dallas, TX or Atlanta, GA (Hybrid).
- Duration: 3–6 months contract.
- Time commitment: Approximately 3–6 hours per day.
Contact
For applications and inquiries: hirings@openkyber.com